Australian Institute for Machine Learning (AIML)’s cover photo
Australian Institute for Machine Learning (AIML)

Australian Institute for Machine Learning (AIML)

Research Services

Adelaide, South Australia 10,019 followers

Global leaders of machine learning research, and high-impact research translation at the University of Adelaide.

About us

Co-investment by the Government of South Australia and the University of Adelaide saw the concept of Australia’s first institute dedicated to research in machine learning finally come to fruition. In early 2018, the Australian Institute for Machine Learning (AIML) was officially established. Although a new Institute by name, AIML was formed from the Australian Centre for Visual Technologies (ACVT), a group with a long history of delivering high-impact fundamental and applied research. ACVT’s many years of success and experience has formed the core of what is now known as AIML. Machine learning underpins the business models of the largest corporations and has the potential to deliver massive, social, economic and environmental benefits. Our world-class research strengths lie in machine learning and the methods that support this; artificial intelligence, computer vision and deep learning. At AIML, we are: —collaborating with world-leading companies to develop high-tech products and solutions —providing an interdisciplinary approach to research and consulting —carrying out pure research to provide benefits to society —raising the profile of South Australia as the place to be for innovation —employing our state’s bright young minds.

Website
www.adelaide.edu.au/aiml
Industry
Research Services
Company size
51-200 employees
Headquarters
Adelaide, South Australia
Type
Educational
Founded
2018
Specialties
Machine Learning, Computer Vision, Artificial Intelligence, Robotic Vision, 3D Modelling, Surveillance, Tracking, Visual Question and Answer, and Augmented Reality

Locations

  • Primary

    Corner Frome Road and North Terrace

    Adelaide, South Australia 5000, AU

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Employees at Australian Institute for Machine Learning (AIML)

Updates

  • Earlier this week, AIML Associate Professor Johan Verjans and AIML Clinical Lecturer Dr Emily Kirkpatrick presented at the Central Adelaide Local Health Network (CALHN) Medical Grand Round this week along with Elena Dicus, CALHN's Executive Director of Strategy and Digital. This weekly event promotes medical education and collaboration among healthcare professionals, highlighting recent advancements and innovations within different teams. It also fosters idea-sharing, supports the growth of emerging consultants, and inspires medical trainees, creating a collaborative environment focused on learning and improving patient care. This week's event, entitled 'AI and the Future of Medicine,' explored utilising AI in handling routine, health-related tasks, leaving human health professionals to focus on communication and care. The talk also analysed the value of involving clinicians in health development and implementation, and the importance of equity in patient access of innovative health technologies. #artificialintelligence #health Photo caption: AIML Associate Professor Johan Verjans speaks at the CALHN Medical Grand Round event

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  • 'Democratising’ AI, or making it more accessible and usable to a wide range of people regardless of their technical expertise, sounds like a heavy topic for a serious tool. But one company is utilising serious AI technology in a lighter – not to mention more delicious – way. Adelaide-based company Deep Liquid is using generative AI and machine learning (ML) to provide “personalised flavour preferences” to consumers. “Deep Liquid’s mission is to provide a safe and transparent model for equitable AI in the personalised food and beverage sector,” said Deep Liquid’s CEO and Founder, Denham D'Silva D’silva. "Customers are able to use their preference to feed our AI the data required to create a beverage to aid their health and wellness goals.” The company began collaborating with AIML in 2020 through its craft brewery, Barossa Valley Brewing, which also utilised AI to create beverages based on customer tastes. Deep Liquid is validating the technology initially in the health and fitness space before making it available to the entire food and beverage industry. “Our business case is not limited to creating protein drinks," said D’silva. “We are redefining wellness personification.”   Please visit the AIML web site to read the article in full ➡️ https://lnkd.in/gSDQcTi5 Dr. Jamie Sherrah Professor Anton van den Hengel Professor Simon Lucey Photo caption: DeepLiquid CEO Denham D’silva (left) operates the smoothie AI vending machine prototype with AIML student Irhas Gill at the AIML building

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  • AIML was pleased to host the Ambassador of the Kingdom of Thailand to Australia, Her Excellency Arjaree Sriratanaban, at the AIML building yesterday. The Ambassador was on hand to discuss potential collaborations between AIML and universities and industries across Thailand. She met with AIML Director Professor Simon Lucey and other AIML members. Welcome Ambassador Sriratanaban. We're excited to expand our networks in Thailand and Southeast Asia, and we look forward to future collaborations. Photo caption: Ambassador Arjaree Sriratanaban (2nd from right) with (left to right) Thai First Secretary Pawornwat Simaskul, AIML Director Professor Lucey, and AIML Business Development Manager Matthew Cliff

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  • Last month's Science Meets Parliament (SMP) event brought together scientists, researchers, and communications professionals from across the nation to Canberra to develop meaningful collaborations between those working in STEM and the policy makers that most impact them. AIML's own Digital Content Officer Juan Miguel Balbin, PhD was among the fortunate to attend the event. In this charming Medium piece, Miguel talks about the exceptional scientists he met during the conference and lessons he learned from the high caliber speakers. Miguel's enthusiasm for science communications shines in every paragraph. "I had long traded my lab coat and pipettes for a camera and pen — tools of the trade for a digital communications professional who now supports other researchers," he writes in the article. Even though he is no longer toiling in a lab, SMP provided plenty of opportunities for Miguel to further his science understanding. "A key takeaway from SMP was the idea of framing science in a way that is not only necessary but is an essential component for progress." "Politicians need to feel the importance and urgency of supporting science in a way that’s relevant to current or upcoming policy," he writes. "Scientists, in turn, must do their research on federal policy priorities and see where their work fits into the puzzle." #science #sciencecommunications Science & Technology Australia To read Miguel's article, please visit https://lnkd.in/gva5S4bY 📣 Medium users, please follow AIML on Medium to be notified of new articles and think pieces from our members. Photo caption: Dr Balbin in front of Parliament House during SMP #SMP2025 #SciComm

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  • The University of Adelaide has been featured in the The Chronicle of Higher Education due to two sweeping, AI-focused initiatives based at the University. The article, entitled "With Great AI Comes Great Responsibility," features the Monitoring and Guarding Public Information Environment, or ‘MAGPIE’ program, and the Collaboration for trANslational AI tRIals or ‘CANAIRI’ initiative. MAGPIE is a University project that seeks to ensure that reliable public information is favoured over unreliable data, allowing consumers to improve their critical thinking skills and build resilience against mass influence campaigns. MAGPIE’s situational awareness tools aim to map, detect, and defend against harmful information with the use of AI. The tools were developed by Keith Ransom, Postdoctoral Researcher in the School of Psychology, Dr Rachel Stephens, Professor Carolyn Semmler, and Professor Lewis Mitchell. The Collaboration for trANslational AI tRIals or ‘CANAIRI’ group focuses on developing translational trials for accountable AI integration to ensure that AI health systems are not only effective but also transparent, ethical, and accountable. The project was developed by AIML's Dr Melissa McCradden in collaboration with Dr Xiao Liu from the University of Birmingham. These projects are among the many ensuring that the University of Adelaide stays on the cutting edge of AI, health, and information technologies. #artificialintelligence #health For more information, please visit ➡️ https://lnkd.in/g-m5bBKc

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  • What role do ethics play in the integration of AI into patient care? In our latest Academic Interview video, Dr Melissa McCradden, AIML Deputy Director and Clinical Research Fellow in AI Ethics at The Hospital Research Foundation Group, shares her expertise in integrating AI technologies into healthcare environments with a focus on ethics. Dr McCradden’s work revolves around ensuring that machine learning and data science technologies are not only ethically sound but also aligned with the larger healthcare system. She works with teams to develop frameworks for testing, evaluating, and integrating AI tools, and examines how AI models perform in real-world clinical contexts before they directly impact patient care. “There’s not a lot of guidance around how to [develop these frameworks] well and how to incorporate some of the broader considerations that we know are critically important for how we integrate technologies like machine learning [into healthcare].” “Good ethics starts with good facts." With support from the Centre for Augmented Reasoning (CAR), the Canadian Institutes of Health Research | Instituts de recherche en santé du Canada, and The Hospital Research Foundation, Dr McCradden's work is shaping the future of AI implementation in healthcare, focusing on building trust, safety, and ethical practices across disciplines. 🎞️ Watch the full interview below (toggle captions on) or on YouTube here: https://lnkd.in/e3KDV2UG #AIinHealthcare #MachineLearning #EthicsInAI #AIML_CAR #AIML #CANAIRI #ArtificialIntelligence #UniOfAdelaide

  • AIML is excited to announce that it has joined forces with deep tech, venture capitalist firm Main Sequence as its preferred partner to co-lead the Centre for Augmented Reasoning’s (CAR) Catalyst Program. This innovative initiative aims to significantly boost participants by nurturing their entrepreneurial goals and accelerating their path from product development to market entry. Over the next 13 weeks, the Catalyst Program – funded by CAR, an initiative of the Australian Government Department of Education - will work with 10 dynamic teams, equipping them with the necessary tools, resources, and mentorship to thrive in today’s competitive markets. Through this collaboration, AIML and Main Sequence are dedicated to unlocking potential and propelling innovation in the deep tech industry.  We are also delighted to have the support of NVIDIA as a research supporter of the CAR Catalyst Program. Welcome to all CAR Catalyst Program members! University of Adelaide #AIML_CAR Photo caption: CAR Catalyst members outside of the AIML building, 7 March

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  • On March 8th 2025, we celebrate International Women’s Day and reaffirm our commitment to advancing gender equality. At AIML, we are proud to have over 50 talented women—including academics, researchers, students, engineers, and professional staff—who are shaping the future of artificial intelligence. AIML is committed to championing diversity in AI research and development. Our members are building inclusive technologies that benefit everyone and reduce the exacerbation of existing disparities. Diversity and equity in AI research and development are essential for uncovering hidden biases, challenging assumptions, and designing algorithms that are representative and fair. Building an inclusive future in AI starts with empowering women’s voices in research and at AIML, we are happy to do our part. Happy International Women’s Day! Photo captions: AIML’s community of women gathered together at the Institute. #IWD2025 #WomenInSTEM #ArtificialIntelligence #AI #MachineLearning #UniOfAdelaide #AIML

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  • Our warmest congratulations to AIML Research Fellow Dr Xinyu Zhang on being announced as a finalist in the Education/Research category at the 2025 Women Leading Tech awards. Dr Zhang has broad interests in computer vision and metric learning. Her current research topics centres on image/video generation, self-supervised and unsupervised learning, human-centric AI, and multimodal retrieval. The Women Leading Tech awards, presented by Atlassian, celebrate the women who drive innovations and forge bold new paths for everyone to follow – whether they are rising stars or established leading lights. Congratulations Xinyu on this fantastic recognition! 🚀 #AIML_CAR For the full list of finalists, please visit - https://lnkd.in/g-T3rbuE Photo caption: AIML Research Fellow Dr Xinyu Zhang

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  • Congratulations to AIML members Yuan Zhang and Dr Tim ChenUniversity of Adelaide Professor Louise Hull, Dr Jodie Avery, BA BAppSc (Med Rad) MPH PhD of the Robinson Research Institute, University of Adelaide, and the entire IMAGENDO® team on being awarded $498,291 AUD in funding from the Australia's Economic Accelerator (AEA) Ignite Grants. The AEA Ignite Grants support high-impact research and commercialisation projects across Australian universities. Notably, almost 40% of the funded projects are led by women researchers, strengthening representation in STEM. The funding will support the IMAGENDO® team who are pioneering the use of artificial intelligence (AI) and machine learning to reduce diagnostic delays for endometriosis. By combining data from transvaginal ultrasound (TVUS) and magnetic resonance imaging (MRI) scans, the team aims to develop an algorithm that can determine the probability of an endometriosis diagnosis much faster. This breakthrough could significantly improve patient quality of life, fertility outcomes, and pain management by enabling earlier intervention. Well done to everyone involved and we look forward to seeing the outcomes of this vital work. 🔗 To learn more about the IMAGENDO® project, visit the AIML website: https://lnkd.in/gWU8hVbQ 🔗 To view the full list of AEA Ignite Grant awardees, visit: https://lnkd.in/e_2xiZux Photo caption (L-R): Yuan Zhang and Dr Tim Chen. Photo credit: The University of Adelaide and the Hong Kong Polytechnic University. #UniOfAdelaide #AEAIgnite #ResearchTranslation #MedicalMachineLearning #ArtificialIntelligence

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